HP HP Z2 Mini G1a Workstation Desktop PC
Geekbench AI Score
5460
Single Precision Score
2183
Half Precision Score
9915
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | aeonsim |
| Upload Date | November 06 2025 05:58 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP Z2 Mini G1a Workstation Desktop PC |
| Motherboard | HP 8D1D |
| Power Plan | HP High Performance |
| CPU Information | |
|---|---|
| Name | AMD RYZEN AI MAX+ PRO 395 w/ Radeon 8060S |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4264
793.0 IPS |
|
|
Image Classification (HP)
|
100% |
621
115.5 IPS |
|
|
Image Classification (Q)
|
99% |
10234
1.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1108
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
991
16.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
14140
229.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14866
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
11292
13.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
48052
56.3 IPS |
|
|
Object Detection (SP)
|
100% |
4374
347.0 IPS |
|
|
Object Detection (HP)
|
100% |
776
61.5 IPS |
|
|
Object Detection (Q)
|
86% |
10631
854.4 IPS |
|
|
Face Detection (SP)
|
100% |
9776
116.2 IPS |
|
|
Face Detection (HP)
|
100% |
1955
23.2 IPS |
|
|
Face Detection (Q)
|
97% |
12470
148.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
15455
119.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3403
26.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11113
88.7 IPS |
|
|
Style Transfer (SP)
|
100% |
28746
37.0 IPS |
|
|
Style Transfer (HP)
|
100% |
25442
32.7 IPS |
|
|
Style Transfer (Q)
|
98% |
63777
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3491
128.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3054
112.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2329
86.2 IPS |
|
|
Text Classification (SP)
|
100% |
1855
2.48 KIPS |
|
|
Text Classification (HP)
|
100% |
829
1.11 KIPS |
|
|
Text Classification (Q)
|
97% |
1508
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2730
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4004
80.4 IPS |
